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Lead AI Engineer - Bayer
AI Engineer
Lead AI Engineer driving end‑to‑end AI solutions for life‑science challenges, leveraging Python, deep learning frameworks, and cloud services to deliver scalable, high‑impact models.
About the role
Key Responsibilities
- Architect and develop production‑grade AI models for complex biological datasets using Python, TensorFlow, and PyTorch.
- Lead a cross‑functional team of data scientists and engineers, ensuring best practices in model training, validation, and deployment.
- Design and maintain scalable data pipelines on AWS (S3, Glue, SageMaker) to support continuous model improvement.
- Collaborate with domain experts to translate scientific problems into data‑driven solutions and communicate results to stakeholders.
- Implement robust monitoring, logging, and performance tuning for AI services in production.
Requirements
- 10+ years of experience in AI/ML engineering with a strong track record of delivering production systems.
- Deep expertise in deep learning architectures, model optimization, and cloud deployment (AWS).
- Proficiency in Python, SQL, and data engineering tools.
- Excellent leadership, communication, and problem‑solving skills.
- Experience in life‑science or related domains is a plus.
Skills
pythonmachine learningdeep learningawstensorflowpytorch